Kun Chen

Kun Chen is a research fellow at the Center for Computational Quantum Physics (CCQ) at the Flatiron Institute. He leads a team that develops Julia packages under the Numerical Effective Field Theory (NEFT) framework (https://github.com/numericalEFT) for modeling real-world quantum materials using modern quantum field theory. These efforts have resulted in powerful tools such as MCIntegration.jl for high-dimensional Monte Carlo integration, Lehmann.jl for low-rank approximation of Green's function, and GreenFunc.jl for studying quantum many-body physics. With a PhD in 2018 from the University of Massachusetts Amherst, Kun is a Simons Postdoctoral Fellow at Rutgers University and later a research fellow at Flatiron Institute. His work in this area will enable scientists and researchers to gain a deeper understanding of quantum materials and their properties.

Talks:

14:50 UTC

High-dimensional Monte Carlo Integration with Native Julia

07/27/2023, 2:50 PM3:00 PM UTC
32-124

This talk presents a new Julia package for efficient and generic Monte Carlo integration in high-dimensional and complex domains, featuring the Vegas algorithm for self-adaptive important sampling and an improved algorithm for increased robustness. The package demonstrates Julia's superiority over C/C++/Fortran and Python for high-dimensional Monte Carlo integration by enabling the easy creation of user-defined integrand evaluation functions with the speed of C and the flexibility of Python.

Platinum sponsors

JuliaHub

Gold sponsors

ASML

Silver sponsors

Pumas AIQuEra Computing Inc.Relational AIJeffrey Sarnoff

Bronze sponsors

Jolin.ioBeacon BiosignalsMIT CSAILBoeing

Academic partners

NAWA

Local partners

Postmates

Fiscal Sponsor

NumFOCUS